Head - Pillar DataLab - SGRF

As a Data Scientist, your role will involve developing, processing, cleansing, and enhancing data collection procedures from multiple sources. You will conduct experiments and proof of concepts to validate business ideas and their potential value. Testing, troubleshooting, and enhancing models in distributed environments to improve accuracy will be a key responsibility. Working closely with product teams, you will implement algorithms using Python and/or R. Designing and implementing scalable predictive models and classifiers leveraging machine learning and data regression techniques will be part of your day-to-day tasks. Your role will also involve facilitating integration with enterprise applications using APIs to enrich implementations. Key Responsibilities:

• Develop, process, cleanse, and enhance data collection procedures from multiple data sources. - Conduct and deliver experiments and proof of concepts to validate business ideas and potential value. - Test, troubleshoot, and enhance developed models in distributed environments to improve accuracy. - Work closely with product teams to implement algorithms with Python and/or R. - Design and implement scalable predictive models and classifiers leveraging machine learning and data regression. - Facilitate integration with enterprise applications using APIs to enrich implementations. Qualifications Required:

• Experience in developing and deploying machine learning, deep learning, NLP solutions. - Proficiency with common data science toolkits such as Scikit, NumPy, and R libraries Excellence in at least one of these is mandatory. - Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase. - Prior experience in developing APIs and services using either C# or Java. - Good awareness of entire machine learning, predictive modeling, and implementation processes. As a Data Scientist, your role will involve developing, processing, cleansing, and enhancing data collection procedures from multiple sources. You will conduct experiments and proof of concepts to validate business ideas and their potential value. Testing, troubleshooting, and enhancing models in distributed environments to improve accuracy will be a key responsibility. Working closely with product teams, you will implement algorithms using Python and/or R. Designing and implementing scalable predictive models and classifiers leveraging machine learning and data regression techniques will be part of your day-to-day tasks. Your role will also involve facilitating integration with enterprise applications using APIs to enrich implementations. Key Responsibilities: